Augment Function Scale Zero One

Takes a numeric vector and will return a vector that has been scaled from [0,1]

Usage

hai_scale_zero_one_augment(.data, .value, .names = "auto")

Arguments

.data

The data being passed that will be augmented by the function.

.value

This is passed rlang::enquo() to capture the vectors you want to augment.

.names

This is set to 'auto' by default but can be a user supplied character string.

Value

An augmented tibble

Details

Takes a numeric vector and will return a vector that has been scaled from [0,1] The input vector must be numeric. The computation is fairly straightforward. This may be helpful when trying to compare the distributions of data where a distribution like beta from the fitdistrplus package which requires data to be between 0 and 1

$$y[h] = (x - min(x))/(max(x) - min(x))$$

This function is intended to be used on its own in order to add columns to a tibble.

See also

Other Augment Function: hai_fourier_augment(), hai_fourier_discrete_augment(), hai_hyperbolic_augment(), hai_polynomial_augment(), hai_scale_zscore_augment(), hai_winsorized_move_augment(), hai_winsorized_truncate_augment()

Other Scale: hai_scale_zero_one_vec(), hai_scale_zscore_augment(), hai_scale_zscore_vec(), step_hai_scale_zscore()

Author

Steven P. Sanderson II, MPH

Examples

df <- data.frame(x = rnorm(100, 2, 1))
hai_scale_zero_one_augment(df, x)
#> # A tibble: 100 × 2
#>        x hai_scale_zero_one_x
#>    <dbl>                <dbl>
#>  1 1.33                 0.393
#>  2 1.04                 0.327
#>  3 1.03                 0.326
#>  4 2.66                 0.697
#>  5 0.983                0.315
#>  6 1.52                 0.438
#>  7 3.51                 0.890
#>  8 0.771                0.267
#>  9 2.90                 0.750
#> 10 2.73                 0.712
#> # ℹ 90 more rows